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为实现对车辆前方目标检测,提出并模拟了一种对缩微智能车前方目标进行检测的方案.在交通沙盘中,搭载ARM9开发板的缩微智能车,通过多种传感器数据融合采集缩微智能车的前方目标信息,然后再对数据进行集中处理.处理过程包括对视觉数据进行行人识别、对雷达数据进行目标状态分析,以及对通信数据进行分包,最后将数据包发送到监控平台完成前方运动目标信息的实时显示.仿真结果表明:该系统实现了对缩微智能车前方目标信息的实时采集,其采集精度和系统稳定性优于传统的目标运动信息采集系统.
In order to realize the target detection in front of the vehicle, a scheme to detect the target in front of the miniature smart car is proposed and simulated.In the traffic sandbox, the miniature smart car equipped with the ARM9 development board is used to collect the miniature smart car through a variety of sensor data fusion Before the target information, and then focus on the data processing.Processing includes visual data for pedestrian recognition, the radar data target state analysis, as well as the communication data subcontracting, and finally send the data packet to the monitoring platform to complete the front of the moving target Real-time display of information.The simulation results show that the system realizes real-time acquisition of target information in front of the miniature smart vehicle, and the acquisition accuracy and system stability are superior to the traditional target motion information acquisition system.